LAMPIRAN Regression Complete Analisis Pengaruh Tingkat Pendidikan Dan Jumlah Tenaga Kerja Terhadap Pertumbuhan Ekonomi Guna Meningkatkan Pembangunan Di Kabupaten Boyoali Tahun 2004.

(1)

LAMPIRAN

Regression Complete

Variables Entered/Removedb

UMR, SLTP, SLTA, Jumlah penduduk, Perguruan tinggia

. Enter Model

1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: PDRB b.

Model Summaryb

,993a ,985 ,977 19526519,2 3,107 Model

1

R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

Predictors: (Constant), UMR, SLTP, SLTA, Jumlah penduduk, Perguruan tinggi

a.

Dependent Variable: PDRB b.

ANOVAb

2,32E+17 5 4,631E+16 121,460 ,000a 3,43E+15 9 3,813E+14

2,35E+17 14 Regression

Residual Total Model 1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), UMR, SLTP, SLTA, Jumlah penduduk, Perguruan tinggi a.

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9180,910 3091,168 1,148 2,970 ,016 -22415,6 6758,112 -2,757 -3,317 ,009 -2187,603 2736,439 -,560 -,799 ,445 -40,798 12,118 -,193 -3,367 ,008 SLTA

SLTP

Jumlah penduduk UMR

Dependent Variable: PDRB a.

Residuals Statisticsa

2,1E+08 5,5E+08 3,8E+08 128606300,7 15 -3,2E+07 2,4E+07 ,000 15656045,345 15

-1,324 1,337 ,000 1,000 15

-1,654 1,249 ,000 ,802 15

Predicted Value Residual

Std. Predicted Value Std. Residual

Minimum Maximum Mean Std. Deviation N

Dependent Variable: PDRB a.

Heteroskedastisitas

Correlations

1,000 ,996** 1,000** ,999** ,996** -,350

. ,000 . ,000 ,000 ,201

15 15 15 15 15 15

,996** 1,000 ,996** ,996** ,996** -,343

,000 . ,000 ,000 ,000 ,211

15 15 15 15 15 15

1,000** ,996** 1,000 ,999** ,996** -,350

. ,000 . ,000 ,000 ,201

15 15 15 15 15 15

,999** ,996** ,999** 1,000 ,995** -,343

,000 ,000 ,000 . ,000 ,210

15 15 15 15 15 15

,996** ,996** ,996** ,995** 1,000 -,341

,000 ,000 ,000 ,000 . ,214

15 15 15 15 15 15

-,350 -,343 -,350 -,343 -,341 1,000

,201 ,211 ,201 ,210 ,214 .

15 15 15 15 15 15

Correlation Coefficient Sig. (2-tailed) N

Perguruan tinggi

SLTA

SLTP

Jumlah penduduk

UMR

absres Spearman's rho

Perguruan

tinggi SLTA SLTP

Jumlah

penduduk UMR absres

(3)

Multikolinieritas-1

UMR, SLTP, SLTA, Jumlah penduduka

. Enter Model

1

Variables Entered

Variables

Removed Method

Dependent Variable: Perguruan tinggi b.

Model Summary

,999a ,998 ,997 86,026 Model

1

R R Square

Adjusted R Square

Predictors: (Constant), UMR, SLTP, SLTA, Jumlah penduduk

a.

ANOVAb

36504668 4 9126166,886 1233,196 ,000a 74004,190 10 7400,419

36578672 14 Regression

Sum of

Predictors: (Constant), UMR, SLTP, SLTA, Jumlah penduduk a.

Dependent Variable: Perguruan tinggi b.

Coefficientsa

-2441,121 241,365 -10,114 ,000

,014 ,013 ,145 1,127 ,286

,082 ,015 ,805 5,520 ,000

,002 ,012 ,039 ,158 ,878

,000 ,000 ,033 1,908 ,085

(Constant) SLTA SLTP

Jumlah penduduk UMR

Model 1

B Std. Error Unstandardized

Coefficients

Beta Standardized

Coefficients

t Sig.

(4)

UMR, SLTP, Jumlah penduduk, Perguruan tinggia

. Enter 1

Dependent Variable: SLTA b.

Model Summary

,995a ,989 ,985 1997,571 Model

1

R R Square

Adjusted R Square

Predictors: (Constant), UMR, SLTP, Jumlah penduduk, Perguruan tinggi

a.

ANOVAb

3,64E+09 4 908798778,8 227,753 ,000a 39902900 10 3990289,994

Sum of

Predictors: (Constant), UMR, SLTP, Jumlah penduduk, Perguruan tinggi a.

Dependent Variable: SLTA b.

Coefficientsa

14699,378 18196,614 ,808 ,438

7,795 6,917 ,778 1,127 ,286

-1,275 ,562 -1,254 -2,269 ,047

,718 ,164 1,469 4,387 ,001

-,001 ,001 -,026 -,563 ,586

(Constant) Perguruan tinggi SLTP

Jumlah penduduk UMR

Model 1

Coefficients

Beta Standardized

Coefficients

t Sig.

(5)

Multikolinieritas-3

UMR, Perguruan tinggi, SLTA, Jumlah penduduka

. Enter Model

1

Variables Entered

Variables

Removed Method

Dependent Variable: SLTP b.

Model Summary

,999a ,998 ,997 913,691 Model

1

R R Square

Adjusted R Square

Predictors: (Constant), UMR, Perguruan tinggi, SLTA, Jumlah penduduk

a.

ANOVAb

3,55E+09 4 886392357,3 1061,762 ,000a 8348316 10 834831,636

Sum of

Predictors: (Constant), UMR, Perguruan tinggi, SLTA, Jumlah penduduk a.

Dependent Variable: SLTP b.

Coefficientsa

24445,690 3746,497 6,525 ,000

9,216 1,670 ,935 5,520 ,000

-,267 ,118 -,271 -2,269 ,047

,167 ,117 ,347 1,429 ,184

-,001 ,000 -,040 -2,265 ,047 (Constant)

Perguruan tinggi SLTA

Jumlah penduduk UMR

Model 1

Coefficients

Beta Standardized

Coefficients

t Sig.

(6)

UMR, SLTP, SLTA, Perguruan tinggia

. Enter 1

Dependent Variable: Jumlah penduduk b.

Model Summary

,998a ,997 ,995 2256,519 Model

1

R R Square

Adjusted R Square

Predictors: (Constant), UMR, SLTP, SLTA, Perguruan tinggi

a.

ANOVAb

1,53E+10 4 3832072948 752,585 ,000a 50918794 10 5091879,394

Sum of

Predictors: (Constant), UMR, SLTP, SLTA, Perguruan tinggi a.

Dependent Variable: Jumlah penduduk b.

Coefficientsa

629,213 21214,617 ,030 ,977

1,307 8,285 ,064 ,158 ,878

,916 ,209 ,448 4,387 ,001

1,017 ,712 ,489 1,429 ,184

,001 ,001 ,013 ,512 ,620

(Constant) Perguruan tinggi SLTA

SLTP UMR Model 1

Coefficients

Beta Standardized

Coefficients

t Sig.

(7)

Multikolinieritas-5

Jumlah penduduk, SLTA, SLTP, Perguruan tinggia

. Enter Model

1

Variables Entered

Variables

Removed Method

Dependent Variable: UMR b.

Model Summary

,713a ,509 ,312 509548,591 Model

1

R R Square

Adjusted R Square

Predictors: (Constant), Jumlah penduduk, SLTA, SLTP, Perguruan tinggi

a.

ANOVAb

2,69E+12 4 6,722E+11 2,589 ,101a 2,60E+12 10 2,596E+11

Sum of

Predictors: (Constant), Jumlah penduduk, SLTA, SLTP, Perguruan tinggi a.

Dependent Variable: UMR b.

Coefficientsa

8077680 4052914 1,993 ,074

3060,195 1603,735 8,051 1,908 ,085 -44,738 79,414 -1,180 -,563 ,586 -324,701 143,380 -8,420 -2,265 ,047

36,107 70,489 1,948 ,512 ,620

(Constant) Perguruan tinggi SLTA

SLTP

Jumlah penduduk Model

1

Coefficients

Beta Standardized

Coefficients

t Sig.